Tooling · Established · Intermediate
Experiment tracking
Recording the code, data, configuration and results of every training run so outcomes can be reproduced and compared.
What Experiment tracking is
Without tracking, teams cannot answer which change produced an improvement, and rerunning a good result becomes guesswork.
How it works
A client logs hyperparameters, metrics, artefacts and environment details to a central store, linked to the data and code versions used.
Why it matters
It is the minimum discipline that makes model development cumulative rather than anecdotal.
Common uses
- →Comparing training runs
- →Reproducing results
- →Model registry inputs
- →Audit evidence
Strengths
- ✓Reproducibility
- ✓Clear comparison across runs
Watch for
- ✓Discipline required
- ✓Another service to run
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